```python
import pandas as pd
import altair as alt
from vega_datasets import data
#names_table = pd.read_csv(r"https://raw.githubusercontent.com/SwanseaU-TTW/csc337_coursework1/master/pleiades-names-latest.csv")
locations_table = pd.read_csv(r"https://raw.githubusercontent.com/SwanseaU-TTW/csc337_coursework1/master/pleiades-locations-latest.csv")
pd.set_option('display.max_columns', None)
alt.data_transformers.disable_max_rows()
select_box = alt.binding_select(options=list(locations_table['featureType'].unique()))
selection = alt.selection_single(name='Type', fields=['featureType'], bind=select_box)
cumulative_max = alt.Chart(locations_table).transform_window(
cumulative_count="count()",
sort=[{'field': "maxDate"}],
).mark_area().encode(
x="maxDate:Q",
y="cumulative_count:Q",
).add_selection(
selection
).transform_filter(
selection
)
cumulative_min = alt.Chart(locations_table).transform_window(
cumulative_count="count()",
sort=[{'field': "minDate"}],
).mark_area().encode(
x="minDate:Q",
y="cumulative_count:Q"
).add_selection(
selection
).transform_filter(
selection
)
cumulative_max | cumulative_min
```